This tutorial can be completed using any operating systems. The Civil Unrest Events and Trans-Atlantic Slave Trade datasets both contain spatial data, though this is lacking from the Scottish Witchcraft Trials data. Trans-Atlantic Slave Trade Database: Searchable and customizable tabular data on 36,000 slaving voyages that transported over 10 million slaves from the 16th to 19th centuries.Īll three datasets contain comparable quantitative, qualitative, and temporal data to those found in the THOR dataset. Scottish Witchcraft Trials: A multi-table set of data on over 4,000 people accused of witchcraft between 15.Ĭivil Unrest Events: A single table cataloging over 60,000 events of civil unrest across the world since the end of World War II. If this dataset doesn’t fit your interests or if you’d like more practice after completing this tutorial, here are a few other interesting datasets that you might wish to use with Bokeh and Pandas:
We’ll use Bokeh and Pandas to address some of the following questions: This file is required to complete most of the examples below. The dataset used in this tutorial is contained in thor_wwii.csv.
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The unabridged dataset is available for download here. These columns are discussed below when we first load the data.
To make this dataset more manageable for our purposes, this has been reduced to 19 columns that include core mission information and bombing data. The original, full-version of the dataset consists of 62 columns of information digitized from the paper forms. The THOR data dictionary provides detailed information on the structure of the dataset.įor this tutorial, we’ll use a modified version of the WWII THOR dataset. This information can include the mission date, takeoff and target locations, the target type, aircraft involved, and the types and weights of bombs dropped on the target. THOR is made publicly available through a partnership between the US Department of Defense and data.world.Įach row in the THOR dataset contains information on a single mission or bombing run. The records were compiled from declassified documents by Lt.
The Theater History of Operations Reports (THOR) lists aerial bombing operations during World War I, World War II, the Korean War, and the Vietnam War undertaken by the United States and Allied Powers. To reach these goals, we’ll work through a variety of visualization examples using THOR, a dataset that describes historical bombing operations. Add varying types of interactivity to your visualizations.Visualize quantitative, categorical, and geographic data for web display.Perform basic data manipulation, such as aggregating and sub-sampling raw data.Specifically, we will work through visualizing and exploring aspects of WWII bombing runs conducted by Allied powers.Īt the end of the lesson you will be able to:
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In this tutorial, you will learn how to do this in Python by using the Bokeh and Pandas libraries. The ability to load raw data, sample it, and then visually explore and present it is a valuable skill across disciplines.
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